Domingo-Ferrer / Önen Privacy in Statistical Databases
Erscheinungsjahr 2024
ISBN: 978-3-031-69651-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
International Conference, PSD 2024, Antibes Juan-les-Pins, France, September 25–27, 2024, Proceedings
E-Book, Englisch, 438 Seiten
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-69651-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2024, held in Antibes Juan-les-Pins, France, during September 25-27, 2024.
The 28 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: Privacy models and concepts; Microdata protection; Statistical table protection; Synthetic data generation methods; Synthetic data generation software; Disclosure risk assessment; Spatial and georeferenced data; Machine learning and privacy; and Case studies.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Privacy models and concepts.- Microdata protection.- Statistical table protection.- Synthetic data generation methods.- Synthetic data generation software.- Disclosure risk assessment.- Spatial and georeferenced data.- Machine learning and privacy.- Case studies.
